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About the course
Learn to work across the full data lifecycle, from collection and preparation to modelling, analysis and communicating insights for decision-making. The course builds foundations in maths, statistics and programming before moving into data management, machine learning, AI and predictive analytics. You can complete a professional placement or industry capstone using real datasets, and tailor your studies with a minor. This is an undergraduate data science degree. The programme builds programming, systems thinking, and data skills for technology-driven industries and startups.
Career outcome
Graduate prepared for roles where organisations turn data into decisions across business, government and tech sectors. You’ll develop skills in data wrangling, modelling, analytics, and machine learning, supported by industry-informed projects and work-integrated learning. Typical pathways include data analyst, junior data scientist, analytics consultant, business intelligence analyst, or roles supporting AI and predictive analytics teams. This is a Bachelor-level pathway into data science and analytics careers.
Living Costs in Melbourne**
Restaurant (Meal, Inexpensive Restaurant) A$ 15 - 20 |
Rent per Month (1 bedroom in City Centre) A$ 1,583 - 2,094 |
Rent per Month (1 bedroom Outside of Centre) A$ 1,207 - 1,596 |
Transportation (Daily) A$ 7 - 9 |
Utilities per Month (Electricity, Mobile & Internet) A$ 240 - 318 |
Average Salary***
